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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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Dataset: Explainable artificial intelligence for mechanics: physics-informing neural networks for constitutive models

Research datakeyboard_double_arrow_right Dataset 18 Apr 2021 English Publisher:Zenodo
Authors: Koeppe, Arnd; Bamer, Franz; Selzer, Michael; Nestler, Britta; Markert, Bernd;

doi: 10.5281/zenodo.4699219 , 10.5281/zenodo.4699218

Dataset: Explainable artificial intelligence for mechanics: physics-informing neural networks for constitutive models

Abstract

The authors gratefully acknowledge financial support by the Federal Ministry of Education and Research (BMBF) in the projects FestBatt (project number 03XP0174E) and by the Ministry of Science, Research and Art Baden-Württemberg in the project MoMaF - Science Data Center, with funds from the state digitization strategy digital@bw (project number 57).

The research data associated with Koeppe, Bamer, Selzer, Nestler, and Markert, 2021, "Explainable artificial intelligence for mechanics: physics-informing neural networks for constitutive models". Corresponding author: Arnd Koeppe (arnd.koeppe@kit.edu) Available on https://kadi4mat.iam-cms.kit.edu/collections/30

Related Organizations
Keywords

elastoplasticity, data-driven modeling, explainable artificial intelligence, principal component analysis, constitutive models, recurrent neural networks, hyperelasticity, neural networks, viscoelasticity, physics-informing neural networks

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
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